agentic coding Articles

Agent harness: Why 90% AI agents fail and how you can do better

Executive Summary 90% of developers change the AI model when their agent makes mistakes. This is the wrong strategy. The AI agent is not the model. The agent is the harness - the software infrastructure that makes the model productive. This harness consists of...
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Master prompt for AI coding: the ultimate system prompt

The quality of your AI-supported software development stands and falls with a single factor: the system prompt. While development teams in companies work with AI IDEs such as Cursor, Windsurf or Cline on a daily basis, many overlook a fundamental fact: these...
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Claude Skills vs. MCP: The ultimate guide to efficient AI workflows

Forget everything you thought about AI automation. Anthropic has released Claude Skills, a feature that changes the way we design AI agents. And no, it's not marketing hype - it's a real paradigm shift in the way we...
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Google Antigravity: When AI no longer assists, but orchestrates

Software development has changed fundamentally in recent years. But what Google presented on November 18, 2025 with Antigravity marks a qualitatively new step: developers become architects, while autonomous AI agents take over the operational...
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